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» Particle filtering for Quantized Innovations
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TSP
2008
149views more  TSP 2008»
13 years 5 months ago
Decentralized Quantized Kalman Filtering With Scalable Communication Cost
Estimation and tracking of generally nonstationary Markov processes is of paramount importance for applications such as localization and navigation. In this context, ad hoc wireles...
Eric J. Msechu, Stergios I. Roumeliotis, Alejandro...
IPSN
2004
Springer
13 years 11 months ago
Distributed particle filters for sensor networks
Abstract. This paper describes two methodologies for performing distributed particle filtering in a sensor network. It considers the scenario in which a set of sensor nodes make m...
Mark Coates
ICRA
2006
IEEE
88views Robotics» more  ICRA 2006»
13 years 11 months ago
Rao-Blackwellized Particle Filtering for 6-DOF Estimation of Attitude and Position via GPS and Inertial Sensors
— The authors present an innovative method for the efficient joint estimation of attitude and position in six degrees of freedom via sensors such as GPS, inertial measurement un...
Paul Vernaza, Daniel D. Lee
FPL
2009
Springer
162views Hardware» more  FPL 2009»
13 years 8 months ago
Efficient particle-pair filtering for acceleration of molecular dynamics simulation
The acceleration of molecular dynamics (MD) simulations using high performance reconfigurable computing (HPRC) has been much studied. Given the intense competition from multicore...
Matt Chiu, Martin C. Herbordt
ICCV
2005
IEEE
14 years 7 months ago
Real-Time Interactively Distributed Multi-Object Tracking Using a Magnetic-Inertia Potential Model
This paper breaks with the common practice of using a joint state space representation and performing the joint data association in multi-object tracking. Instead, we present an i...
Dan Schonfeld, Magdi A. Mohamed, Wei Qu